Antibody Optimization

Antibody Optimization is a computational or experimental methodology aimed at enhancing the binding affinity, specificity, stability, and developability of chimeric antibodies through targeted modifications of their variable or constant regions.

270

Publications

15.2K

Citations

1.8K

Authors

469

Institutions

Publications per year

2017–2026

115

Authors

1.8K

  1. CM
    Charlotte M. Deane

    University of Oxford, United Kingdom

    5 publications · 165 citations

    5

    h-index

  2. PM
    Peter M. Tessier

    Rensselaer Polytechnic Institute, United States

    5 publications · 328 citations

    5

    h-index

  3. SJ
    Sarel J. Fleishman

    Weizmann Institute of Science, Israel

    5 publications · 304 citations

    5

    h-index

  4. PD
    Peter D. Kwong

    National Institutes of Health, United States

    4 publications · 116 citations

    4

    h-index

  5. TS
    Traian Sulea

    Biotechnology Research Institute, Canada

    4 publications · 168 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. mAbs

    14 publications · 557 citations

    14

    h-index

  2. PLoS ONE

    11 publications · 526 citations

    11

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 10 publications · 2.3K citations

    10

    h-index

  4. Journal of Immunological Methods

    10 publications · 312 citations

    10

    h-index

  5. Journal of Biological Chemistry

    JBC · 10 publications · 883 citations

    10

    h-index

1–5